I have a python package with the following standard directory structure:
package_name/
setup.py
package_name/
module_1.py
module_2.py
...
tests/
docs/
I've installed this package with pip3 install -e .. I've noticed an inconsistent importing issue. (Please read to the end!) If I restart terminal and run the following (1) within the interpreter:
>>> from package_name import module_1
I get an import error. If I instead run this (2):
>>> from package_name.package_name import module_1
it imports fine. If I then navigate to the directory and rerun pip3 install -e ., I can import in the standard way (following (1)). What on earth is causing this? To make things stranger, I can import in the standard way (1) in Jupyter and my IDE without reinstalling the package. This issue only comes up when I open/restart terminal.
This should be fixed by adding the main project folder package_name/ to your PATH
Also, try renaming your project folders with different names, in order to avoid confusion for yourself, people working with you and also to help python to find the right module location
You should also create the __init__.py files on each module folders, even if those are empty files. This also helps python to find the modules locations.
I created project and helper modules for it. But some of modules are using each other like worker 1 uses helper1 and helper2 also uses helper1. So I completle confused how I need to import all those modules so so can work standalone (for example I want to debug helper2 out of main script) and they still will be functional. Summarizing - how to correctly import modules so maint_script will work and other modules when using out of main_script. Sorry for my English.
main program dir/
main_script.py
-classes/
|
|--helper1.py
|--helper2.py
-worker_classes/
|
|--worker1.py
At the moment I'am using this constructions in the begging of each script, but I feel that this approach isn't appropriate for python
import os
import sys
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), 'shell_modules')))
The way I deal with imports inside a project is to install the project in editable mode. This way, all files will be able to locate each other, always starting from your project root directory.
In order to do this, follow these steps:
1) write a setup.py file and add it to your project root folder - it doesn't need much info at all:
# setup.py
from setuptools import setup, find_packages
setup(name='MyPackageName', version='1.0.0', packages=find_packages())
2) install your package in editable mode (ideally from a virtual environment). From a terminal in your project folder, write
$ pip install -e .
Note the dot - this means "install the package from the current directory in editable mode".
3) your files are now able to locate each other, always starting from the project root. To import helper1.py, for example, you write:
from classes import helper1
or alternatively:
from classes.helper1 import foo, bar
This will be true to import helper1.py for any file, no matter where it is located in the project structure.
Like I said, you should use a virtual environment for this, so that pip does not install your package to your main Python installation (which could be messy if your project has many dependencies).
Currently my favorite tool for this is pipenv. When using it, replace the terminal command with
$ pipenv install -e .
So that your project gets added to the Pipfile.
I want to inherit from a class in a file that lies in a directory above the current one.
Is it possible to relatively import that file?
from ..subpkg2 import mod
Per the Python docs: When inside a package hierarchy, use two dots, as the import statement doc says:
When specifying what module to import you do not have to specify the absolute name of the module. When a module or package is contained within another package it is possible to make a relative import within the same top package without having to mention the package name. By using leading dots in the specified module or package after from you can specify how high to traverse up the current package hierarchy without specifying exact names. One leading dot means the current package where the module making the import exists. Two dots means up one package level. Three dots is up two levels, etc. So if you execute from . import mod from a module in the pkg package then you will end up importing pkg.mod. If you execute from ..subpkg2 import mod from within pkg.subpkg1 you will import pkg.subpkg2.mod. The specification for relative imports is contained within PEP 328.
PEP 328 deals with absolute/relative imports.
import sys
sys.path.append("..") # Adds higher directory to python modules path.
#gimel's answer is correct if you can guarantee the package hierarchy he mentions. If you can't -- if your real need is as you expressed it, exclusively tied to directories and without any necessary relationship to packaging -- then you need to work on __file__ to find out the parent directory (a couple of os.path.dirname calls will do;-), then (if that directory is not already on sys.path) prepend temporarily insert said dir at the very start of sys.path, __import__, remove said dir again -- messy work indeed, but, "when you must, you must" (and Pyhon strives to never stop the programmer from doing what must be done -- just like the ISO C standard says in the "Spirit of C" section in its preface!-).
Here is an example that may work for you:
import sys
import os.path
sys.path.append(
os.path.abspath(os.path.join(os.path.dirname(__file__), os.path.pardir)))
import module_in_parent_dir
Import module from a directory which is exactly one level above the current directory:
from .. import module
How to load a module that is a directory up
preface: I did a substantial rewrite of a previous answer with the hopes of helping ease people into python's ecosystem, and hopefully give everyone the best change of success with python's import system.
This will cover relative imports within a package, which I think is the most probable case to OP's question.
Python is a modular system
This is why we write import foo to load a module "foo" from the root namespace, instead of writing:
foo = dict(); # please avoid doing this
with open(os.path.join(os.path.dirname(__file__), '../foo.py') as foo_fh: # please avoid doing this
exec(compile(foo_fh.read(), 'foo.py', 'exec'), foo) # please avoid doing this
Python isn't coupled to a file-system
This is why we can embed python in environment where there isn't a defacto filesystem without providing a virtual one, such as Jython.
Being decoupled from a filesystem lets imports be flexible, this design allows for things like imports from archive/zip files, import singletons, bytecode caching, cffi extensions, even remote code definition loading.
So if imports are not coupled to a filesystem what does "one directory up" mean? We have to pick out some heuristics but we can do that, for example when working within a package, some heuristics have already been defined that makes relative imports like .foo and ..foo work within the same package. Cool!
If you sincerely want to couple your source code loading patterns to a filesystem, you can do that. You'll have to choose your own heuristics, and use some kind of importing machinery, I recommend importlib
Python's importlib example looks something like so:
import importlib.util
import sys
# For illustrative purposes.
file_path = os.path.join(os.path.dirname(__file__), '../foo.py')
module_name = 'foo'
foo_spec = importlib.util.spec_from_file_location(module_name, file_path)
# foo_spec is a ModuleSpec specifying a SourceFileLoader
foo_module = importlib.util.module_from_spec(foo_spec)
sys.modules[module_name] = foo_module
foo_spec.loader.exec_module(foo_module)
foo = sys.modules[module_name]
# foo is the sys.modules['foo'] singleton
Packaging
There is a great example project available officially here: https://github.com/pypa/sampleproject
A python package is a collection of information about your source code, that can inform other tools how to copy your source code to other computers, and how to integrate your source code into that system's path so that import foo works for other computers (regardless of interpreter, host operating system, etc)
Directory Structure
Lets have a package name foo, in some directory (preferably an empty directory).
some_directory/
foo.py # `if __name__ == "__main__":` lives here
My preference is to create setup.py as sibling to foo.py, because it makes writing the setup.py file simpler, however you can write configuration to change/redirect everything setuptools does by default if you like; for example putting foo.py under a "src/" directory is somewhat popular, not covered here.
some_directory/
foo.py
setup.py
.
#!/usr/bin/env python3
# setup.py
import setuptools
setuptools.setup(
name="foo",
...
py_modules=['foo'],
)
.
python3 -m pip install --editable ./ # or path/to/some_directory/
"editable" aka -e will yet-again redirect the importing machinery to load the source files in this directory, instead copying the current exact files to the installing-environment's library. This can also cause behavioral differences on a developer's machine, be sure to test your code!
There are tools other than pip, however I'd recommend pip be the introductory one :)
I also like to make foo a "package" (a directory containing __init__.py) instead of a module (a single ".py" file), both "packages" and "modules" can be loaded into the root namespace, modules allow for nested namespaces, which is helpful if we want to have a "relative one directory up" import.
some_directory/
foo/
__init__.py
setup.py
.
#!/usr/bin/env python3
# setup.py
import setuptools
setuptools.setup(
name="foo",
...
packages=['foo'],
)
I also like to make a foo/__main__.py, this allows python to execute the package as a module, eg python3 -m foo will execute foo/__main__.py as __main__.
some_directory/
foo/
__init__.py
__main__.py # `if __name__ == "__main__":` lives here, `def main():` too!
setup.py
.
#!/usr/bin/env python3
# setup.py
import setuptools
setuptools.setup(
name="foo",
...
packages=['foo'],
...
entry_points={
'console_scripts': [
# "foo" will be added to the installing-environment's text mode shell, eg `bash -c foo`
'foo=foo.__main__:main',
]
},
)
Lets flesh this out with some more modules:
Basically, you can have a directory structure like so:
some_directory/
bar.py # `import bar`
foo/
__init__.py # `import foo`
__main__.py
baz.py # `import foo.baz
spam/
__init__.py # `import foo.spam`
eggs.py # `import foo.spam.eggs`
setup.py
setup.py conventionally holds metadata information about the source code within, such as:
what dependencies are needed to install named "install_requires"
what name should be used for package management (install/uninstall "name"), I suggest this match your primary python package name in our case foo, though substituting underscores for hyphens is popular
licensing information
maturity tags (alpha/beta/etc),
audience tags (for developers, for machine learning, etc),
single-page documentation content (like a README),
shell names (names you type at user shell like bash, or names you find in a graphical user shell like a start menu),
a list of python modules this package will install (and uninstall)
a defacto "run tests" entry point python ./setup.py test
Its very expansive, it can even compile c extensions on the fly if a source module is being installed on a development machine. For a every-day example I recommend the PYPA Sample Repository's setup.py
If you are releasing a build artifact, eg a copy of the code that is meant to run nearly identical computers, a requirements.txt file is a popular way to snapshot exact dependency information, where "install_requires" is a good way to capture minimum and maximum compatible versions. However, given that the target machines are nearly identical anyway, I highly recommend creating a tarball of an entire python prefix. This can be tricky, too detailed to get into here. Check out pip install's --target option, or virtualenv aka venv for leads.
back to the example
how to import a file one directory up:
From foo/spam/eggs.py, if we wanted code from foo/baz we could ask for it by its absolute namespace:
import foo.baz
If we wanted to reserve capability to move eggs.py into some other directory in the future with some other relative baz implementation, we could use a relative import like:
import ..baz
Here's a three-step, somewhat minimalist version of ThorSummoner's answer for the sake of clarity. It doesn't quite do what I want (I'll explain at the bottom), but it works okay.
Step 1: Make directory and setup.py
filepath_to/project_name/
setup.py
In setup.py, write:
import setuptools
setuptools.setup(name='project_name')
Step 2: Install this directory as a package
Run this code in console:
python -m pip install --editable filepath_to/project_name
Instead of python, you may need to use python3 or something, depending on how your python is installed. Also, you can use -e instead of --editable.
Now, your directory will look more or less like this. I don't know what the egg stuff is.
filepath_to/project_name/
setup.py
test_3.egg-info/
dependency_links.txt
PKG-INFO
SOURCES.txt
top_level.txt
This folder is considered a python package and you can import from files in this parent directory even if you're writing a script anywhere else on your computer.
Step 3. Import from above
Let's say you make two files, one in your project's main directory and another in a sub directory. It'll look like this:
filepath_to/project_name/
top_level_file.py
subdirectory/
subfile.py
setup.py |
test_3.egg-info/ |----- Ignore these guys
... |
Now, if top_level_file.py looks like this:
x = 1
Then I can import it from subfile.py, or really any other file anywhere else on your computer.
# subfile.py OR some_other_python_file_somewhere_else.py
import random # This is a standard package that can be imported anywhere.
import top_level_file # Now, top_level_file.py works similarly.
print(top_level_file.x)
This is different than what I was looking for: I hoped python had a one-line way to import from a file above. Instead, I have to treat the script like a module, do a bunch of boilerplate, and install it globally for the entire python installation to have access to it. It's overkill. If anyone has a simpler method than doesn't involve the above process or importlib shenanigans, please let me know.
Polished answer of #alex-martelli with pathlib:
import pathlib
import sys
_parentdir = pathlib.Path(__file__).parent.parent.resolve()
sys.path.insert(0, str(_parentdir))
import module_in_parent_dir
sys.path.remove(str(_parentdir))
To run python /myprogram/submodule/mymodule.py which imports /myprogram/mainmodule.py, e.g., via
from mainmodule import *
on Linux (e.g., in the python Docker image), I had to add the program root directory to PYTHONPATH:
export PYTHONPATH=/myprogram
It is 2022 and none of the answers really worked for me. Here is what worked in the end
import sys
sys.path.append('../my_class')
import my_class
My directory structure:
src
--my_class.py
notebooks
-- mynotebook.ipynb
I imported my_class from mynotebook.ipynb.
You can use the sys.path.append() method to add the directory containing the package to the list of paths searched for modules. For example, if the package is located two directories above the current directory, you can use the following code:
import sys
sys.path.append("../../")
if the package is location one directory above the current directory, you can use below code:
import sys
sys.path.append("..")
Python is a modular system
Python doesn't rely on a file system
To load python code reliably, have that code in a module, and that module installed in python's library.
Installed modules can always be loaded from the top level namespace with import <name>
There is a great sample project available officially here: https://github.com/pypa/sampleproject
Basically, you can have a directory structure like so:
the_foo_project/
setup.py
bar.py # `import bar`
foo/
__init__.py # `import foo`
baz.py # `import foo.baz`
faz/ # `import foo.faz`
__init__.py
daz.py # `import foo.faz.daz` ... etc.
.
Be sure to declare your setuptools.setup() in setup.py,
official example: https://github.com/pypa/sampleproject/blob/master/setup.py
In our case we probably want to export bar.py and foo/__init__.py, my brief example:
setup.py
#!/usr/bin/env python3
import setuptools
setuptools.setup(
...
py_modules=['bar'],
packages=['foo'],
...
entry_points={},
# Note, any changes to your setup.py, like adding to `packages`, or
# changing `entry_points` will require the module to be reinstalled;
# `python3 -m pip install --upgrade --editable ./the_foo_project
)
.
Now we can install our module into the python library;
with pip, you can install the_foo_project into your python library in edit mode,
so we can work on it in real time
python3 -m pip install --editable=./the_foo_project
# if you get a permission error, you can always use
# `pip ... --user` to install in your user python library
.
Now from any python context, we can load our shared py_modules and packages
foo_script.py
#!/usr/bin/env python3
import bar
import foo
print(dir(bar))
print(dir(foo))
I have a python project structured like this:
repo_dir/
----project_package/
--------__init__.py
--------process.py
--------config.py
----tests/
--------test_process.py
__init__.py is empty
config.py looks like this:
name = 'brian'
USAGE
I use the library by running python process.py from the project/project/ directory, or by specifying the python file path absolutely. I'm running Python 2.7 on Amazon EC2 Linux.
When process.py looks like below, everything works fine and process.py prints brian.
import config
print config.name
When process.py looks like below, I get the error ImportError: No module named project.config.
import project.config
print config.name
When process.py looks like below, I get the error ImportError: No module named project. This makes sense as the same behavior from the previous example should be expected.
from project import config
print config.name
If I add these lines to process.py to include the library root in sys.path, all configurations above, work fine.
import os
import sys
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
MY CONFUSION
Many resources suggest setting up python libraries to import modules using project.module_name, but it doesn't seem like sys.path appending is standard, and seems weird that I need it. I can see that the sys.path append added my library root as a path in sys, but I thought that's what the __init__.py in my library root was supposed to do. What gives? What am I missing? I know Python importing creates lots of headaches so I've tried to simplify this as much as possible to wrap my head around it. I'm going crazy and it's Friday before a holiday. I'm bummed. Please help!!
QUESTIONS
How should I set up my libraries? How should I import packages? Where should I have __init__.py files? Do I need to append my library root to sys.path in every project? Why is this so confusing?
Your project setup is alright. I renamed the directories just for clarity
in this example, but the structure is the same as yours:
repo_dir/
project_package/
__init__.py
process.py
config.py
# Declare your project in a setup.py file, so that
# it will be installable, both by users and by you.
setup.py
When you have a module that wants to import from another module in
the same project, the best approach is to use relative imports. For example:
# In process.py
from .config import name
...
While working on the code on your dev box, do your work in a Python virtualenv,
and pip install your project in "editable" mode.
# From the root of your repo:
pip install -e .
With that approach, you'll never need to muck around with sys.path -- which
is almost always the wrong approach.
I think the problem is how you're running your script. If you want the script to be living in a package (the inner project folder), you should run it with python -m project.process, rather than by filename. Then you can make absolute or explicit relative imports to get config from process.
An absolute import would be from project import config or import project.config.
An explicit relative import would be from . import config.
Python 2 also allows implicit relative imports, but they're a really bad misfeature that you should never use. With implicit relative imports, internal package modules can shadow top-level modules. For instance, a project/json.py file would hide the standard library's json module from all the other modules in the package. You can tell Python you want to forbid implicit relative imports by putting from __future__ import absolute_import at the top of the file. It's the standard behavior in Python 3.
What is the correct way to fix this ImportError error?
I have the following directory structure:
/home/bodacydo
/home/bodacydo/work
/home/bodacydo/work/project
/home/bodacydo/work/project/programs
/home/bodacydo/work/project/foo
And I am in the directory
/home/bodacydo/work/project
Now if I type
python ./programs/my_python_program.py
I instantly get
ImportError: No module named foo.tasks
The ./programs/my_python_program.py contains the following line:
from foo.tasks import my_function
I can't understand why python won't find ./foo/tasks.py - it's there.
If I do it from the Python shell, then it works:
python
>>> from foo.tasks import my_function
It only doesn't work if I call it via python ./programs/my_python_program.py script.
Python does not add the current directory to sys.path, but rather the directory that the script is in. Add /home/bodacydo/work/project to either sys.path or $PYTHONPATH.
Do you have a file called __init__.py in the foo directory? If not then python won't recognise foo as a python package.
See the section on packages in the python tutorial for more information.
A better fix than setting PYTHONPATH is to use python -m module.path
This will correctly set sys.path[0] and is a more reliable way to execute modules.
I have a quick writeup about this problem, as other answerers have mentioned the reason for this is python path/to/file.py puts path/to on the beginning of the PYTHONPATH (sys.path).
Here is a step-by-step solution:
Add a script called run.py in /home/bodacydo/work/project and edit it like this:
import programs.my_python_program
programs.my_python_program.main()
(replace main() with your equivalent method in my_python_program.)
Go to /home/bodacydo/work/project
Run run.py
Explanation:
Since python appends to PYTHONPATH the path of the script from which it runs, running run.py will append /home/bodacydo/work/project. And voilà, import foo.tasks will be found.
Example solution for adding the library to your PYTHONPATH.
Add the following line into your ~/.bashrc or just run it directly:
export PYTHONPATH="$PYTHONPATH:$HOME/.python"
Then link your required library into your ~/.python folder, e.g.
ln -s /home/user/work/project/foo ~/.python/
In my mind I have to consider that the foo folder is a stand-alone library. I might want to consider moving it to the Lib\site-packages folder within a python installation. I might want to consider adding a foo.pth file there.
I know it's a library since the ./programs/my_python_program.py contains the following line:
from foo.tasks import my_function
So it doesn't matter that ./programs is a sibling folder to ./foo. It's the fact that my_python_program.py is run as a script like this:
python ./programs/my_python_program.py
If you have this problem when using an instaled version, when using setup.py, make sure your module is included inside packages
setup(name='Your program',
version='0.7.0',
description='Your desccription',
packages=['foo', 'foo.bar'], # add `foo.bar` here